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July 24, 2020

Start Date and TimeEvent DetailsEvent Organizer(s)

Friday, July 24, 2020

9:00 AM - 4:00 PM Patient-Oriented Community-Based Research

The workshop is designed to have fun while reflecting on what we know about mobilizing communities and meaningfully engaging them in community-based participatory research (CBPR).

The key objectives are: a) Acquiring new bold ideas about working with diverse community members in health CBPR; b) Sharing tips to face the digital divide; c) Inspiring and supporting patients, leaders, students and colleagues with CBPR ideas; and d) Discussing ideas on how to show the world your work, what we call Knowledge Transfer/Translation and Exchange.

Given the times we live in, we will use examples, comparisons and contrasts between the 1980s AIDS epidemic (which I lived in the flesh) and COVID19. We will reflect on why those comparisons/contrasts matter when doing research and in public health.

The workshop consists of a three-hour meeting online before the full day online workshop. This way, we make time to meet each other before the full day workshop, to explore the hub (MyLearningSpace platform) together, and to play with unruly technology.

The one-day workshop is a combination of lecturettes (gay short lectures) and activities designed to dip our toes into possible CBPR designs, complications, attitudes, and ways to express and disseminate all aspects of health CBPR.

Prepare:
Knowledge of the basic terms of CBR is desirable. Explore www.uwow.ca.

Instructor:
Francisco Ibanez-Carrasco

Registration.
Cost and discount options.

  • CCRLA
  • 9:00 AM - 4:00 PM Structural Equation Modeling (SEM)

    Structural equation modelling (SEM) is a statistical technique that encompasses multiple linear regression, path analysis, factor analysis and causal modelling with latent variables in a unified framework. Health and social scientists as well as market researchers can use SEM to create powerful models that explain various aspects of human behaviours, from well-being to social attitudes and consumer behaviour.

    This workshop covers the main background principles of SEM, preparing data for SEM, model-building strategies, and applications of SEM in health and social sciences. It also covers different techniques that are part of the SEM "family": path analysis, confirmatory factor analysis, structural regression models, and cross-lagged structural equation modelling. Latent profile/class analysis is also introduced. SEM analysis will be demonstrated using Mplus, a command-driven program.

    The analysis will be exemplified using de-identified data from a recent study conducted by Dr. Coulombe and his team on the impacts of the COVID-19 crisis on the mental health of Canadian workers.

    Prerequisites:
    Basic familiarity with multiple linear regression and factor analysis

    Instructor:
    Simon Coulombe

    Registration.
    Cost and discount options.

  • CCRLA

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